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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Comparison of Neural Decoding Methods and Population Coding Across Thalamo-Cortical Head Direction Cells
|
|---|---|
| Published in |
Frontiers in Neural Circuits, December 2019
|
| DOI | 10.3389/fncir.2019.00075 |
| Pubmed ID | |
| Authors |
Zishen Xu, Wei Wu, Shawn S. Winter, Max L. Mehlman, William N. Butler, Christine M. Simmons, Ryan E. Harvey, Laura E. Berkowitz, Yang Chen, Jeffrey S. Taube, Aaron A. Wilber, Benjamin J. Clark |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 13% |
| Russia | 1 | 13% |
| Italy | 1 | 13% |
| Bosnia and Herzegovina | 1 | 13% |
| United States | 1 | 13% |
| Netherlands | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 2 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 23% |
| Researcher | 10 | 19% |
| Student > Bachelor | 5 | 10% |
| Student > Master | 4 | 8% |
| Student > Postgraduate | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 17 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 15 | 29% |
| Agricultural and Biological Sciences | 6 | 12% |
| Engineering | 4 | 8% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Psychology | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 18 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 February 2022.
All research outputs
#7,442,892
of 25,622,179 outputs
Outputs from Frontiers in Neural Circuits
#416
of 1,301 outputs
Outputs of similar age
#154,532
of 479,337 outputs
Outputs of similar age from Frontiers in Neural Circuits
#9
of 17 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,301 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has gotten more attention than average, scoring higher than 67% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 479,337 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.